error-handling-patterns

A circuit breaker prevents cascading API failures by halting requests to a failing service. This Skill provides code samples demonstrating circuit breaker patterns alongside retry strategies and graceful degradation techniques across multiple languages.

Error handling in Rust and Go typically uses result types, whereas Python and TypeScript use exceptions. This Skill consolidulates these cross-language patterns, offering native constructs for each to design resilient software.

Error aggregation collects multiple validation failures into a single response rather than failing fast. This pattern is covered with language-native examples to improve debugging and reliability in data-validation flows.

Graceful degradation maintains partial service functionality during external failures, whereas standard exception handling often halts execution. This Skill demonstrates when to apply degradation strategies to build fault-tolerant systems.

The patterns apply broadly, but explicit code samples target Python, TypeScript, Rust, and Go. It covers exceptions, result types, retries, and circuit breakers using language-native constructs for these four environments.

A retry pattern with backoff prevents overwhelming an external service during transient outages by progressively delaying subsequent requests. This Skill provides retry strategies to improve reliability in fault-tolerant systems.